Senior Enterprise AI & Data Architect at Ralliant

, , United States -

Full Time

Start Date

Immediate

Expiry Date

15 Apr, 26

Salary

269100.0

Posted On

15 Jan, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI, Data Architecture, Data Governance, Business Model Design, Platform Engineering, Data Management, Data Engineering, Analytics, Cloud Engineering, Security, Compliance, FinOps, Stakeholder Engagement, Data Products, Digital Business Models, Architecture Standards

Industry

Electrical Equipment Manufacturing

Description

Role Overview The Enterprise AI & Data Architect is a senior, hands-on architecture leader responsible for translating Ralliant’s Data & AI Strategy into executable architectures, platforms, and operating standards across all operating companies. This role sits at the intersection of business model design, platform engineering, and data governance; ensuring that agentic AI, data products, and digital business models can be deployed at scale while optimizing spend and reducing time-to-value. You will define and govern the enterprise AI/data architecture that enables: Agentic AI workflows as a “system of action” on top of existing systems of record. An Enterprise Data & Knowledge Platform and domain-focused AI platforms that connect data and knowledge across operating companies and use cases. New business models (e.g., analytics/insights-as-a-service) and digital customer experiences aligned to OpCo strategic plans. Key Responsibilities Enterprise AI & Data Strategy Execution Translate the enterprise Data & AI Strategy into an integrated AI/data architecture blueprint and multi-year roadmap, aligned with strategic priorities, foundational readiness, and priority use cases Define architecture guardrails based upon guiding principles Partner with the AI/Data Strategy function and AI/Data Center of Excellence to ensure solution and domain architectures deliver expected KPIs Business Model & Value Architecture Work with Operating Company leaders to design AI/data-enabled business models (analytics-as-a-service, digital service ecosystems, intelligent customer platforms, embedded AI in products) and translate them into concrete platform, data, and integration architectures. Use Business Model Canvas-style frameworks to ensure that data, AI, and platform components are explicitly linked to revenue models, pricing, cost structure, and value delivery. Define patterns for data rights, data contracts, and productized data/AI services that support recurring revenue (ARR) and new business models Platform Architecture & Implementations Own the reference architecture for the Enterprise Data & Knowledge Platform and domain-focused AI platforms Integrate with Operating Company data layers and systems of record Support agentic workflows that span end-to-end business processes Provide on-platform analytics and automation for common processes Define environment and hosting patterns to support GCC High / FedRAMP, hybrid and air-gapped deployments, and regulated workloads. Data Management, Engineering Principles & Standards Define and maintain enterprise data architecture standards across data modeling, data products, metadata, lineage, MDM/reference data, event streaming, and integration patterns. Partner with Data Engineering, BI/Reporting, and Platform Operations to codify reference implementations and golden patterns for Operating Company data layers and pipelines. Operationalize data lifecycle and data governance policies in the architecture Promote “zero-barrier” data access (with appropriate controls) to improve data liquidity and reduce time to prepare data for AI Security, Privacy, and Compliance by Design Embed secure-by-design principles into all AI/data architectures, including identity and access management, data segmentation, tenant isolation, and role-based access. Align architectures with CMMC, cybersecurity, and data protection requirements identified in OpCo strategic plans and enterprise risk frameworks. Collaborate with Security Architecture, GRC, and Legal/Privacy to ensure architectures support policy enforcement and defensible compliance. Spend Optimization & FinOps Work with Infrastructure, Cloud Engineering, and Finance to define FinOps-aligned architectural standards Architect for “fewer, bigger, better” strategic platforms and partners to reduce duplicated capabilities and IT run costs while increasing reuse Provide TCO/ROI viewpoints and architecture options that reduce the cost to deliver AI solutions Governance, Operating Model & Ways of Working Play a leading role in architecture governance forums to evaluate and approve AI/data solutions and platform investments. Define decision-rights, standards, and patterns that enable dual-speed delivery Partner with Innovation PODs, Citizen Development programs, and Operating Company teams to ensure architectures support both centralized and decentralized innovation safely Stakeholder Leadership & Engagement Serve as a trusted advisor to Operating Company Product, Commercial, Operations, and RBS leaders on how AI/data platforms and architectures unlock their strategic priorities. Communicate complex architectural concepts in business language, linking design decisions to KPIs such as revenue growth, NDR, CSAT, margin, productivity, and time-to-market. Champion Ralliant’s vision where every employee can build or orchestrate agentic workflows in their area, with architecture and platforms that make this safe and scalable. #LI-RG1 Ralliant Corporation Overview Ralliant, originally part of Fortive, now stands as a bold, independent public company driving innovation at the forefront of precision technology. With a global footprint and a legacy of excellence, we empower engineers to bring next-generation breakthroughs to life — faster, smarter, and more reliably. Our high-performance instruments, sensors, and subsystems fuel mission-critical advancements across industries, enabling real-world impact where it matters most. At Ralliant we’re building the future, together with those driven to push boundaries, solve complex problems, and leave a lasting mark on the world. We Are an Equal Opportunity Employer. Ralliant Corporation and all Ralliant Companies are proud to be equal opportunity employers. We value and encourage diversity and solicit applications from all qualified applicants without regard to race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity or expression, or other characteristics protected by law. Ralliant and all Ralliant Companies are also committed to providing reasonable accommodations for applicants with disabilities. Individuals who need a reasonable accommodation because of a disability for any part of the employment application process, please contact us at applyassistance@Ralliant.com. Bonus or Equity This position is also eligible for bonus and equity as part of the total compensation package. Pay Range The salary range for this position (in local currency) is 144,900.00 - 269,100.00

Responsibilities

The Senior Enterprise AI & Data Architect will translate Ralliant’s Data & AI Strategy into executable architectures and platforms. This role involves defining enterprise AI/data architecture and ensuring the deployment of AI and data products at scale.